Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

lunch140 vs Bryan 80–69 53.69%
lunch140 vs Kazuya 44–42 51.16%
lunch140 vs Jin 44–27 61.97%
lunch140 vs Steve 32–35 47.76%
lunch140 vs Reina 36–28 56.25%
lunch140 vs King 26–33 44.07%
lunch140 vs Clive 23–30 43.40%
lunch140 vs Heihachi 22–27 44.90%
lunch140 vs Dragunov 24–19 55.81%
lunch140 vs Hwoarang 22–19 53.66%
lunch140 vs Paul 19–21 47.50%
lunch140 vs Law 14–25 35.90%
lunch140 vs Lars 15–20 42.86%
lunch140 vs Yoshimitsu 11–22 33.33%
lunch140 vs Lee 12–21 36.36%
lunch140 vs Jun 13–18 41.94%
lunch140 vs Devil Jin 16–14 53.33%
lunch140 vs Nina 13–17 43.33%
lunch140 vs Lili 10–17 37.04%
lunch140 vs Victor 11–11 50.00%
lunch140 vs Asuka 10–11 47.62%
lunch140 vs Xiaoyu 3–15 16.67%
lunch140 vs Feng 3–12 20.00%
lunch140 vs Alisa 9–4 69.23%
lunch140 vs Azucena 7–6 53.85%
lunch140 vs Eddy 3–9 25.00%
lunch140 vs Leo 6–5 54.55%
lunch140 vs Jack-8 4–6 40.00%
lunch140 vs Claudio 4–5 44.44%
lunch140 vs Anna 6–3 66.67%
lunch140 vs Raven 6–2 75.00%
lunch140 vs Leroy 1–4 20.00%
lunch140 vs Shaheen 2–2 50.00%
lunch140 vs Kuma 0–3 0.00%
lunch140 vs Panda 2–1 66.67%
lunch140 vs Zafina 2–0 100.00%

Limitations

This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.

For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.

There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.

In the meantime, this page is here to present the data as requested.